Dr. Vijaya Saraswathi Redrowthu

Employment

• VNR Vignana Jyothi Institute of Engineering and Technology Assistant Professor
  2007 - Present

Education

• JNTU College of Engineering M.Tech
  2008 - 2011
• Sri Saradhi Institute of Engineering and Technology B.Tech
  2001 - 2004

Projects & Funding

Projects & funding information is unavailable.

Publications (25)

• A Multi-Stage Framework for Refining Infant Daytime Sleep–Wake Labels from Wearable Accelerometer Data
  Sensors 2026 DOI: 10.3390/s26134168
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• A LSTM based Deep Learning Model for Text Summarization
  2022 6th International Conference on Electronics, Communication and Aerospace Technology 2023
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• Detection of Synthesized Videos using CNN
  2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) 2022
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• Next Word Prediction in Telugu using RNN Mechanism
  2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) 2022
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• Deep Learning Regression-Based Retinal Layer Segmentation Process for Early Diagnosis of Retinal Anamolies and Secure Data Transmission through ThingSpeak
  Mobile Information Systems 2022 DOI: 10.1155/2022/8960132
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• An Intelligent College Enquiry Bot using NLP and Deep Learning based techniques
  2022 International Conference for Advancement in Technology (ICONAT) 2022 DOI: 10.1109/iconat53423.2022.9725865
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• Automation of Recon Process for Ethical Hackers
  2022 International Conference for Advancement in Technology (ICONAT) 2022 DOI: 10.1109/iconat53423.2022.9726077
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• Smart Attendance System Using Speech Recognition
  2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) 2022 DOI: 10.1109/icssit53264.2022.9716261
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• Smart Farming: The IoT based Future Agriculture
  2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) 2022 DOI: 10.1109/icssit53264.2022.9716331
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• Face Detection and Comparison Using Deep Learning
  Proceedings of Second International Conference on Advances in Computer Engineering and Communication Systems 2022 DOI: 10.1007/978-981-16-7389-4_49
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